Snow Avalanche Risk Assessment using GIS-Based AHP for Bitlis Province

Year 2023, Volume: 12 Issue: 1, 104 - 114, 22.03.2023

Mehmet Cihan Aydın Elif Sevgi Birincioğlu Ali Emre Ulu Aydın Büyüksaraç

https://doi.org/10.17798/bitlisfen.1195607

Abstract

Bitlis province, located in the Eastern Anatolia of Turkey, is the region with the highest snowfall in the country. Due to its highland and steep structure, the region is under high avalanche risk. Assessment of the snow avalanche risks is important in terms of modern disaster management. In this study, the avalanche risks were assessed by using the analytical hierarchy process (AHP), which is an effective multiple criteria decision-making methods. The avalanche risk was considered depend on many factors such as temperature, slope, elevation, aspect, land use, soil, lithology, precipitation, distance to fault and population. The outputs obtained from the method were mapped in the GIS environment and thus the avalanche risks of the region were determined. According to the results, especially the highland and steep southern parts and the two volcanic mountain foothills in the region were evaluated as high risk. The study results were validated by comparing past avalanche events and some previous researches.

Keywords

Snow Avalanche, AHP, GIS, Risk Assessment, Bitlis Province.

References

• [1] I. Gurer, H. Tuncel, “Türkiye'de çığ sorunu ve bugünkü durumu,” in A.Ü. Türkiye Coğrafyası Araştırma ve Uygulama Merkezi 2. Sempozyumu bildirileri. 1994
• [2] C. Sahin, “Türkiye afetler coğrafyası,” Gazi Üniv. Yayın no: 172. Ankara, 1991.
• [3] A. Gret-Regamey and D. Straub, “Spatially explicit avalanche risk assessment linking Bayesian networks to a GIS,” Nat. Hazards Earth Syst. Sci., 6, 911–926, 2006.
• [4] H.A. Nefeslioglu, E.A. Sezer, C. Gokceoglu, and Z. Ayasd, “A modified analytical hierarchy process (M-AHP) approach for decision support systems in natural hazard assessments,” Computers &Geosciences, 59: 1–8, 2013. http://dx.doi.org/10.1016/j.cageo.2013.05.010
• [5] S. Kumar, P.K. Srivastava, and Snehmani, “GIS-based MCDA–AHP modelling for avalanche susceptibility mapping of Nubra valley region, Indian Himalaya,” Geocarto International, 32(11): 1254–1267, 2017 https://doi.org/10.1080/10106049.2016.1206626
• [6] N. Varol, “Avalanche susceptibility mapping with the use of frequency ratio, fuzzy and classical analytical hierarchy process for Uzungol area, Turkey,” Cold Regions Science and Technology, 2022, 194: 103439. https://doi.org/10.1016/j.coldregions.2021.103439
• [7] S. Nasery and K. Kalkan, “Snow avalanche risk mapping using GIS-based multi-criteria decision analysis: the case of Van, Turkey,” Arabian Journal of Geosciences, 2021, 14: 782. https://doi.org/10.1007/s12517-021-07112-4
• [8] N. Elmastas and M. Ozcanli, “Avalanche disaster areas and avalanche risk analysis in the provence of Bitlis,” VI. National Geography Symposium, 3-5 November 2010. TUCAUM, Ankara, Turkey, 2011.
• [9] A. E. Göksu and Y. Leventeli, “Determination of the avalanche hazard zones using geographic information systems: a case study from Bitlis province,” 9th International Symposium on eastern Mediterranean Geology, 07 – 11 May 2018, Antalya/Turkey, 2018.
• [10] L. Selçuk, “An avalanche hazard model for Bitlis Province, Turkey, using GIS based multicriteria decision analysis,” Turkish J Earth Sci, 2013, 22: 523-535. doi:10.3906/yer-1201-10
• [11] M. C. Aydin, E. S. Birincioglu, “Flood risk analysis using GIS‑based analytical hierarchy process: a case study of Bitlis Province,” Applied Water Science, 2022, 12:122, 1 – 10. https://doi.org/10.1007/s13201-022-01655-x.
• [12] MGM, “Precipitation Data, Climate-Data,” Turkish State Meteorological Service, 2021, https://www.mgm.gov.tr/, Access date 16.12.2021.
• [13] C. Terzi, “Production of Ground Snow Load Map and Determination of Roof Snow Loads in Eastern Anatolia Region,” PhD Thesis, KTU Institute of Science, 2011.
• [14] M. C. Aydin, and E. Isik, “Evaluation of Ground Snow Loads in the Micro-climate Regions,” Russian Meteorology and Hydrology, 2015, 40(11): 741–748.
• [15] R. Ekinci, A. Buyuksarac, Y. L. Ekinci, and E. Isik, “Natural Disaster Diversity Assessment of Bitlis Province,” Journal of Natural Hazards and Environment, 6(1): 1-11, 2020, DOI: 10.21324/dacd.535189
• [16] DMI, “Kar Örtülü Günler Sayısı, Karlı Günler Sayısı, Maksimum Kar Kalınlıkları Haritaları,” Devlet Meteoroloji İşleri Genel Müdürlüğü, Zirai Meteoroloji ve İklim Rasatları Daire Başkanlığı, Ankara, 2000
• [17] AFAD, “Overview of 2019 and natural event statistics within the scope of disaster management” (in Turkish), T.R. Ministry of Interior, Disaster and Emergency Management, 2019. Presidency, www.afad.gov.tr. Access Date: 26.01.2022.
• [18] T. L. Saaty, “The analytic hierarchy process,” New York: McGraw-Hill, New York, 1980, pp 20–25.
• [19] G. Can, “Using geographical information systems and analytical hierarchy method for site selection for wind turbine plants: The case of Çanakkale province,” Master Thesis, Graduate School of Natural and Applied Science, Çanakkale Onsekiz Mart University, Turkey, 2019.
• [20] Y. Wang, J. Liu, and T. Elhag, “An Integrated AHP-DEA Methodology for Bridge Risk Assessment,” Computers & Industrial Engineering, 54(3): 513-525, 2008.
• [21] T. L. Saaty, “How to make a decision: The analytic hierarchy process,” European Journal of Operational Research, 48(1): 9–26, 1990.
• [22] N. Subramanian and R. Ramanathan, “A review of applications of Analytic Hierarchy Process in operations management,” Int. J Production Economics, 2012, 138: 215-241.
• [23] S. Hajkowicz and K. Collins, “A review of multiple criteria analysis for water resource planning and management,” Water Resour Manag. 2007, 21:1553–1566. https://doi.org/10.1007/s11269-006-9112-5
• [24] O. Ekmekcioglu, K. Koc, and M. Ozger, “District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process,” Stochastic Environmental Research and Risk Assessment 2021, 35:617–637. https://doi.org/10.1007/s00477-020-01924-8
• [25] AFAD, “Turkey earthquake maps,” 2021. https://tdth.afad.gov.tr/, Access date: 23.01.2021.
• [26] HGM, “Republic of Turkiye Ministry of National Defense General Directorate of Mapping. Turkish administrative borders data,” 2021. https://www.harita.gov.tr/ Access date: 16.12.2021.
• [27] USGS, “Earth Data and Digital Elevation Model (DEM) for Bitlis province,” United States Geological Survey (USGS), 2021. https://www.usgs.gov/ Access date: 16.12.2021.
• [28] TAD, “Agricultural Land Evaluation Portal (TAD Portal),” Republic of Turkey Ministry of Agriculture and Forestry General Directorate of Agricultural Reform. 2021. https://www.tarimorman.gov.tr/ Access date: 16.12.2021.
• [29] Copernicus, “Data of land use from Copernicus land Monitoring Service,” 2021, https://land.copernicus.eu/ Access date: 16.12.2021.
• [30] MTA, “Data of geological structure from GeoScience Mab Viewer and Drawing Editor,” General Directorate of Mineral Research and Expolaration of Türkiye, 2021, http://yerbilimleri.mta.gov.tr/anasayfa.aspx, Access date: 16.12.2021.
• [31] TUIK, “Population data from Data Portal for Statistical,” Turkish Statistical Institute, 2021, https://data.tuik.gov.tr/ Access date: 16.12.2021.
• [32] Climate-Data, https://tr.climate-data.org/ , Access date: 16.12.2021.
• [33] Geofabrik, “Maps and Data,” https://www.geofabrik.de/data/, Access date: 16.12.2021.
• [34] A. E. Göksu, “Avalanche Susceptibility Analysis Report (in Turkish),” Disaster and Emergency Management Presidency (AFAD), Bitlis, Turkey, 2017.